Lead AI Engineer
Origin (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy diffusion-based generative models and vision-language models to enable real-time AI perception on dynamic construction sites.
- Lead the creation and scaling of auto-annotation pipelines for large-scale multimodal data including images and point-clouds.
- Own end-to-end project lifecycle including problem definition, research, prototyping, evaluation, and handing off production models to downstream teams.
Minimum Requirements
- 8+ years of deep learning R&D experience or M.S./Ph.D. in CS, EE, Robotics or related field with strong publication record.
- Expertise in diffusion models (DDPM, LDM, ControlNet) and multimodal transformers/vision-language models (CLIP, BLIP-2, LLaVA).
- Proven experience building large-scale data-centric AI workflows such as active learning and pseudo-labeling.
- Proficient in Python, PyTorch or JAX, and familiar with edge deployment tools (TensorRT, ONNX Runtime) and CUDA/C++ optimization.
Ideal Candidate Profile
- Experienced in bridging cutting-edge AI research and practical, production-grade real-time systems in robotics or similar edge environments.
- Demonstrates ownership over full AI system lifecycle from fundamental research to deployment and production handoff.
- Strong background in multimodal AI integrating sensor data with complex inputs like CAD plans and textual instructions.